UX AI Developer C2C jobs New Jersey/New York

Role: UX AI Developer

Location: New Jersey/New York

Duration: Full-time

Interview: Video

 

1. Proficiency in Scripting & Front-End Adaptation

•            Strong working knowledge of JavaScript for implementing custom business logic, API orchestration, widget behaviors, and UI enhancements within Client.

•            Solid understanding of CSS and basic web styling concepts to customize Client widgets, user interfaces, and embedded front-end components in portals, applications, and intranet environments.

2. Integration Expertise (API & Automation Ecosystem)

•            Hands-on experience consuming and exposing REST and SOAP APIs to integrate Client with enterprise systems such as ERPs, CRMs, HRMS, ticketing systems, and databases.

•            Ability to design secure and reliable integration flows leveraging API authentication, payload structures, error handling, and asynchronous operations.

• Familiarity with UiPath RPA for orchestrating or extending automation journeys triggered by Client AI agents, including queue operations, attended/unattended robot flows, and process invocation patterns.

3. AI & NLP Understanding

•            Good conceptual understanding of Artificial Intelligence, particularly:

o            NLP/NLU fundamentals for intent classification, entity extraction, and conversation design.

o            LLMs and Generative AI capabilities, including prompt engineering, retrieval-augmented generation (RAG), and grounding enterprise knowledge for Client AI agents.

•            Ability to translate business needs into conversational logic flows, knowledge search strategies, and generative reasoning capabilities supported by Client’s AI Engine.

4. Database & Data Handling Skills

•            Strong technical knowledge of relational database structures, especially:

o            Microsoft SQL Server

o            Oracle Database

•            Ability to perform database manipulation (queries, joins, stored procedures, views) and connect Client to data sources for dynamic content retrieval, validation steps, or reporting.

5. Cloud & Infrastructure Knowledge

•            Understanding of deployment models, environments, scaling, security.

 

Understanding of Software Products and SDLC

•            Solid technical foundation in how modern SaaS and enterprise software products are architected, deployed, and maintained.

•            Familiarity with:

o            Agile delivery frameworks

o            Release management

o            Versioning and configuration control

o            Application lifecycle management (Dev → Test → Prod)

•            Ability to document technical solutions, troubleshoot issues systematically, and communicate clearly with both technical and non-technical stakeholders.

Soft Skills & Success Behaviors

•            Strong analytical and problem-solving skills, with the ability to break down complex automation scenarios into modular, scalable conversational flows.

•            Proactive communicator who can translate business requirements into technical solutions.

•            Curiosity and adaptability to continuously explore new AI features, integration possibilities, and automation technologies.

•            Collaborative mindset suitable for cross-functional team environments (AI/ML, RPA, product, cloud engineering, customer success).

What This Person Can Deliver

An ideal candidate will be able to:

•            Configure, build, and optimize Client AI agents aligned with business use cases.

•            Integrate Client with enterprise applications using APIs and automation platforms.

•            Implement GenAI-powered flows using Client’s AI Engine, search connectors, LLM orchestration, and knowledge integrations.

•            Design end-to-end conversational journeys involving RPA, microservices, data retrieval, or workflow automation.

•            Provide best-practice guidance to partners and customers for scalable conversational automation programs.